20VC: Bret Taylor: The AI Bubble and What Happens Now | How the Cost of Chips and Models Will Change in AI | Will Companies Build Their Own Software | Why Pre-Training is for Morons | Leaderships Lessons from Mark Zuckerberg
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Foundation vs. Frontier: Choose Wisely
The market for AI models can be categorized into foundation models and frontier models. Foundation models are foundational large language models that can be effectively utilized despite not being the highest performing or most complex. For practical use cases, open-source models like Llama or Mistral can be downloaded and fine-tuned. In contrast, frontier models represent significant advancements, where notable leaps in quality are observed, especially with versions like GPT-3.5 and GPT-4, marking step function changes in performance. Incremental improvements are frequent, but they are punctuated by these major breakthroughs in model capabilities. There is skepticism surrounding pre-training efforts by companies that aren't dedicated AGI research labs, as such initiatives are often viewed as financially inefficient.
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